GUIDANCE ALGORITHM FOR UGV USING IOE SYSTEMS AND FOG COMPUTING

GUIDANCE ALGORITHM FOR UGV USING IOE SYSTEMS AND FOG Abstract: The advancement of unmanned systems as a defensive measure in the military services has also been garnering dynamism in current decades. This seems to be primarily due to the expeditious ought to mitigate the deployable threats posed by soldiers in a variety of situations inside the different shows of war. This proposal examines the framework for evaluating a UGV that might be capable of interacting spontaneously in an intricately cramped atmosphere. This approach employed an analytical process model to recognize the associated parameters influencing the efficiency of the UGV to be evaluated to develop and implements the requisite UGV guidance and control algorithms. The methodologies for avoiding obstacles and automatic path planning using simultaneous mapping and localization SLAM algorithm as the primary guidance and control algorithm for the UGV movement. The guidance algorithm directs the vehicle to the desired destination. This proposal demonstrates the reliable effectiveness of the guidance algorithm and needs a relatively low computation process. 11 P a g e GUIDANCE ALGORITHM FOR UGV USING IOE SYSTEMS AND FOG Diagram RemoteUser GdneActuators Contrc.1 AloVAlu FOG Layer Unomaned Grounkd Vehicles Onboard Sensors, GPS reveiver Fig 1: Dataflow diagram 1| P a g e